What Models?

Pick the right model for your GPU — in seconds.

What AI models can an RTX PRO 5000 Blackwell (48 GB) run?

The RTX PRO 5000 Blackwell has 48 GB of VRAM and 1344 GB/s memory bandwidth. 68 models run well on it and 4 more are a tight fit.

Fine-tune for your setup (context, speed, system RAM, multiple GPUs) → Check price on Amazon

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Best for general use

Highest MMLU score among models that run well

  1. Qwen3.6 27B Q8_0 256K context · ~46 tok/s · MMLU 86.2
  2. Qwen3.5 27B Q8_0 256K context · ~49 tok/s · MMLU 86.1
  3. Llama 3.3 70B Q4_K_M 17K context · ~31 tok/s · MMLU 86

Best for coding

Highest SWE-bench Verified score among models that run well

  1. Qwen3.8 27B Q8_0 256K context · ~48 tok/s · SWE-bench 86
  2. Ornith 1.5 35B A3B Q8_0 256K context · ~341 tok/s · SWE-bench 79
  3. Qwen3.6 27B Q8_0 256K context · ~46 tok/s · SWE-bench 77.2

Upgrade options

The cheapest GPUs with more VRAM than the RTX PRO 5000 Blackwell, by launch MSRP.

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Every model on the RTX PRO 5000 Blackwell

142 of 200 model configurations can run on 48 GB — sorted by quality

100 models, each counted once by the best way it runs on your hardware.

Largest that runs well Llama 3.3 70B 70.6B params · Q4_K_M · 17K context
Fastest good-quality model Qwen3.5 35B A3B ~487 tok/s · Q4_K_M · 256K context
? MMLU (Massive Multitask Language Understanding) measures general knowledge across 57 subjects. Higher = more capable. Sorted best-first.

Runs well 68

  • Qwen3.6 27B 27B Excellent VisionTool useReasoning
    MMLU 86.2
    Q4_K_M
    Context 256K Speed ~77 tok/s
    Q8_0
    Context 256K Speed ~46 tok/s
  • Qwen3.5 27B 27B Excellent VisionTool useReasoning
    MMLU 86.1
    Q4_K_M
    Context 256K Speed ~81 tok/s
    Q8_0
    Context 256K Speed ~49 tok/s
  • Llama 3.3 70B 70.6B Excellent Tool use
    MMLU 86
    Q4_K_M
    Context 17K Speed ~31 tok/s
    Q8_0 Doesn't fit · needs 75.3 GB

Runs well 68

  • Qwen3.6 27B 27B Excellent VisionTool useReasoning
    MMLU 86.2
    Q4_K_M
    Context 256K Speed ~77 tok/s
    Q8_0
    Context 256K Speed ~46 tok/s
  • Qwen3.5 27B 27B Excellent VisionTool useReasoning
    MMLU 86.1
    Q4_K_M
    Context 256K Speed ~81 tok/s
    Q8_0
    Context 256K Speed ~49 tok/s
  • Llama 3.3 70B 70.6B Excellent Tool use
    MMLU 86
    Q4_K_M
    Context 17K Speed ~31 tok/s
    Q8_0 Doesn't fit · needs 75.3 GB
  • Qwen3.5 35B A3B 35B Excellent VisionTool useReasoning
    MMLU 85.3
    Q4_K_M
    Context 256K Speed ~487 tok/s

    MoE — speed based on ~1.76 GB active experts (full 20.5 GB loaded in VRAM)

    Q8_0
    Context 256K Speed ~340 tok/s

    MoE — speed based on ~2.95 GB active experts (full 34.37 GB loaded in VRAM)

  • Gemma 4 31B 31B Excellent VisionTool useReasoning
    MMLU 85.2
    Q4_K_M
    Context 256K Speed ~70 tok/s
    Q8_0
    Context 231K Speed ~43 tok/s
  • Qwen3.6 35B A3B 35B Excellent VisionTool useReasoning
    MMLU 85.2
    Q4_K_M
    Context 256K Speed ~460 tok/s

    MoE — speed based on ~1.92 GB active experts (full 22.4 GB loaded in VRAM)

    Q8_0
    Context 256K Speed ~322 tok/s

    MoE — speed based on ~3.18 GB active experts (full 37 GB loaded in VRAM)

  • Qwen3 32B 32.8B Excellent ReasoningTool use
    MMLU 85
    Q4_K_M
    Context 115K Speed ~65 tok/s
    Q8_0
    Context 54K Speed ~38 tok/s
  • Phi-4 14B 14.7B Excellent
    MMLU 84.8
    Q4_K_M
    Context 16K Speed ~134 tok/s
    Q8_0
    Context 16K Speed ~81 tok/s
  • Qwen3.8 27B 27.78B Excellent VisionTool useReasoning
    MMLU 84.3
    Q4_K_M
    Context 256K Speed ~82 tok/s
    Q8_0
    Context 256K Speed ~48 tok/s
  • DeepSeek R1 Distill Llama 70B 70.6B Excellent Reasoning
    MMLU 84
    Q4_K_M
    Context 17K Speed ~31 tok/s
    Q8_0 Doesn't fit · needs 75.3 GB
  • Qwen 2.5 32B 32.5B Excellent Tool use
    MMLU 83.3
    Q4_K_M
    Context 115K Speed ~64 tok/s
    Q8_0
    Context 54K Speed ~38 tok/s
  • QwQ 32B 32.5B Excellent ReasoningTool use
    MMLU 83
    Q4_K_M
    Context 115K Speed ~64 tok/s
    Q8_0
    Context 53K Speed ~37 tok/s
  • Gemma 4 26B A4B 26B Great VisionTool useReasoning
    MMLU 82.6
    Q4_K_M
    Context 256K Speed ~391 tok/s

    MoE — speed based on ~2.44 GB active experts (full 15.87 GB loaded in VRAM)

    Q8_0
    Context 256K Speed ~277 tok/s

    MoE — speed based on ~3.85 GB active experts (full 25.02 GB loaded in VRAM)

  • Qwen3.5 9B 9B Great VisionTool useReasoning
    MMLU 82.5
    Q4_K_M
    Context 256K Speed ~214 tok/s
    Q8_0
    Context 256K Speed ~136 tok/s
  • GLM-4.7 Flash 31B Great ReasoningTool use
    MMLU 82
    Q4_K_M
    Context 128K Speed ~70 tok/s
    Q8_0
    Context 128K Speed ~41 tok/s
  • Magistral Small 24B 23.6B Great ReasoningVisionTool use
    MMLU 82
    Q4_K_M
    Context 128K Speed ~88 tok/s
    Q8_0
    Context 128K Speed ~52 tok/s
  • Nemotron 3.5 Lightning 30B A3B 31.58B Great Tool useReasoning
    MMLU 81.94
    Q4_K_M
    Context 256K Speed ~414 tok/s

    MoE — speed based on ~2.25 GB active experts (full 23.73 GB loaded in VRAM)

    Q8_0
    Context 256K Speed ~328 tok/s

    MoE — speed based on ~3.1 GB active experts (full 32.6 GB loaded in VRAM)

  • Qwen3 Coder 30B-A3B 30.5B Great Tool use
    MMLU 81
    Q4_K_M
    Context 256K Speed ~475 tok/s

    MoE — speed based on ~1.83 GB active experts (full 18.6 GB loaded in VRAM)

    Q8_0
    Context 168K Speed ~320 tok/s

    MoE — speed based on ~3.2 GB active experts (full 32.5 GB loaded in VRAM)

  • Mistral Small 3.1 24B 23.6B Great VisionTool use
    MMLU 81
    Q4_K_M
    Context 128K Speed ~88 tok/s
    Q8_0
    Context 128K Speed ~52 tok/s
  • DeepSeek R1 Distill Qwen 32B 32.5B Great Reasoning
    MMLU 80
    Q4_K_M
    Context 115K Speed ~64 tok/s
    Q8_0
    Context 54K Speed ~38 tok/s
  • Qwen 2.5 14B 14.7B Great Tool use
    MMLU 79.9
    Q4_K_M
    Context 128K Speed ~135 tok/s
    Q8_0
    Context 128K Speed ~80 tok/s
  • Nemotron Cascade 2 30B A3B 30B Great ReasoningTool use
    MMLU 79.8
    Q4_K_M
    Context 256K Speed ~407 tok/s

    MoE — speed based on ~2.3 GB active experts (full 23.03 GB loaded in VRAM)

    Q8_0
    Context 256K Speed ~325 tok/s

    MoE — speed based on ~3.13 GB active experts (full 31.28 GB loaded in VRAM)

  • Qwen3.5 4B 4B Great VisionTool useReasoning
    MMLU 79.1
    Q4_K_M
    Context 256K Speed ~379 tok/s
    Q8_0
    Context 256K Speed ~260 tok/s
  • Qwen3 8B 8.2B Great ReasoningTool use
    MMLU 79
    Q4_K_M
    Context 128K Speed ~223 tok/s
    Q8_0
    Context 128K Speed ~138 tok/s
  • Qwen 2.5 Coder 32B 32.5B Great
    MMLU 79
    Q4_K_M
    Context 115K Speed ~64 tok/s
    Q8_0
    Context 54K Speed ~38 tok/s
  • Gemma 3 27B 27B Great Vision
    MMLU 78
    Q4_K_M
    Context 128K Speed ~77 tok/s
    Q8_0
    Context 128K Speed ~45 tok/s
  • Gemma 4 12B 11.96B Great VisionTool useReasoning
    MMLU 77.2
    Q4_K_M
    Context 256K Speed ~176 tok/s
    Q8_0
    Context 256K Speed ~105 tok/s
  • Nemotron Nano 12B 12.6B Great ReasoningTool use
    MMLU 76
    Q4_K_M
    Context 128K Speed ~161 tok/s
    Q8_0
    Context 128K Speed ~95 tok/s
  • GPT-OSS 20B 21B Great ReasoningTool use
    MMLU 75
    Q4_K_M
    Context 128K Speed ~106 tok/s
    Q8_0
    Context 128K Speed ~103 tok/s
  • Qwen 2.5 7B 7.62B Good Tool use
    MMLU 74.2
    Q4_K_M
    Context 128K Speed ~237 tok/s
    Q8_0
    Context 128K Speed ~148 tok/s
  • Qwen 2.5 VL 7B 7.62B Good VisionTool use
    MMLU 74.2
    Q4_K_M
    Context 128K Speed ~237 tok/s
    Q8_0
    Context 128K Speed ~148 tok/s
  • Gemma 3 12B 11.8B Good Vision
    MMLU 74
    Q4_K_M
    Context 128K Speed ~162 tok/s
    Q8_0
    Context 128K Speed ~99 tok/s
  • Qwen 2.5 Coder 14B 14.7B Good
    MMLU 74
    Q4_K_M
    Context 128K Speed ~135 tok/s
    Q8_0
    Context 128K Speed ~80 tok/s
  • Llama 3.2 Vision 11B 10.6B Good VisionTool use
    MMLU 73
    Q4_K_M
    Context 128K Speed ~193 tok/s
    Q8_0
    Context 128K Speed ~118 tok/s
  • DeepSeek R1 Distill Qwen 14B 14.7B Good Reasoning
    MMLU 72
    Q4_K_M
    Context 128K Speed ~135 tok/s
    Q8_0
    Context 128K Speed ~80 tok/s
  • Devstral Small 24B 23.6B Good Tool use
    MMLU 72
    Q4_K_M
    Context 128K Speed ~88 tok/s
    Q8_0
    Context 128K Speed ~52 tok/s
  • Phi-3 Mini 3.8B 3.82B Good
    MMLU 70.9
    Q4_K_M
    Context 124K Speed ~396 tok/s
    Q8_0
    Context 120K Speed ~266 tok/s
  • Phi-4 Mini 3.8B 3.84B Good
    MMLU 70
    Q4_K_M
    Context 128K Speed ~385 tok/s
    Q8_0
    Context 128K Speed ~265 tok/s
  • Llama 3.1 8B 8.03B Good Tool use
    MMLU 69.4
    Q4_K_M
    Context 128K Speed ~227 tok/s
    Q8_0
    Context 128K Speed ~141 tok/s
    fp16
    Context 128K Speed ~79 tok/s
  • Gemma 4 E4B 4.5B Good VisionTool useReasoning
    MMLU 69.4
    Q4_K_M
    Context 128K Speed ~223 tok/s
    Q8_0
    Context 128K Speed ~158 tok/s
  • Mistral Nemo 12B 12.2B Good Tool use
    MMLU 68
    Q4_K_M
    Context 128K Speed ~156 tok/s
    Q8_0
    Context 128K Speed ~95 tok/s
  • Qwen 2.5 Coder 7B 7.62B Good
    MMLU 68
    Q4_K_M
    Context 128K Speed ~237 tok/s
    Q8_0
    Context 128K Speed ~148 tok/s
  • Qwen 2.5 VL 3B 3.09B Fair Vision
    MMLU 65.6
    Q4_K_M
    Context 128K Speed ~459 tok/s
    Q8_0
    Context 128K Speed ~313 tok/s
  • Qwen 2.5 3B 3.09B Fair Tool use
    MMLU 65.6
    Q4_K_M
    Context 32K Speed ~459 tok/s
    Q8_0
    Context 32K Speed ~313 tok/s
  • Ministral 8B 8.02B Fair Tool use
    MMLU 65
    Q4_K_M
    Context 128K Speed ~221 tok/s
    Q8_0
    Context 128K Speed ~141 tok/s
  • SmallThinker 3B 3.09B Fair Reasoning
    MMLU 65
    Q4_K_M
    Context 32K Speed ~459 tok/s
    Q8_0
    Context 32K Speed ~313 tok/s
  • Llama 3.2 3B 3.21B Fair Tool use
    MMLU 63.4
    Q4_K_M
    Context 128K Speed ~445 tok/s
    Q8_0
    Context 128K Speed ~304 tok/s
    fp16
    Context 128K Speed ~181 tok/s
  • Gemma 3 4B 3.88B Fair Vision
    MMLU 63
    Q4_K_M
    Context 128K Speed ~385 tok/s
    Q8_0
    Context 128K Speed ~262 tok/s
  • Codestral 22B 22.2B Fair
    MMLU 62
    Q4_K_M
    Context 32K Speed ~94 tok/s
    Q8_0
    Context 32K Speed ~55 tok/s
  • Gemma 4 E2B 2.3B Fair VisionTool useReasoning
    MMLU 60
    Q4_K_M
    Context 128K Speed ~318 tok/s
    Q8_0
    Context 128K Speed ~239 tok/s
  • DeepSeek R1 Distill Qwen 7B 7.62B Fair Reasoning
    MMLU 58
    Q4_K_M
    Context 128K Speed ~237 tok/s
    Q8_0
    Context 128K Speed ~148 tok/s
  • Qwen3.5 2B 2B Fair VisionTool useReasoning
    MMLU 55.3
    Q4_K_M
    Context 256K Speed ~614 tok/s
    Q8_0
    Context 256K Speed ~468 tok/s
  • StarCoder2 15B 15.6B Basic
    MMLU 51.4
    Q4_K_M
    Context 16K Speed ~124 tok/s
    Q8_0
    Context 16K Speed ~75 tok/s
  • DeepSeek Coder 6.7B 6.74B Basic
    MMLU 50
    Q4_K_M
    Context 16K Speed ~265 tok/s
    Q8_0
    Context 16K Speed ~165 tok/s
  • Llama 3.2 1B 1.24B Basic Tool use
    MMLU 49.3
    Q4_K_M
    Context 128K Speed ~743 tok/s
    Q8_0
    Context 128K Speed ~579 tok/s
  • Qwen3.5 0.8B 0.8B Basic VisionTool useReasoning
    MMLU 29.7
    Q4_K_M
    Context 256K Speed ~896 tok/s
    Q8_0
    Context 256K Speed ~764 tok/s
  • K2-Horizon 7B 9B Basic Tool useReasoning
    MMLU
    Q4_K_M
    Context 312K Speed ~216 tok/s
    Q8_0
    Context 285K Speed ~135 tok/s
  • Nemotron 3 Nano 4B 3.97B Basic ReasoningTool use
    MMLU
    Q4_K_M
    Context 256K Speed ~356 tok/s
    Q8_0
    Context 256K Speed ~272 tok/s
  • Ornith 1.5 9B 9.65B Basic Tool useReasoning
    MMLU
    Q4_K_M
    Context 256K Speed ~211 tok/s
    Q8_0
    Context 256K Speed ~133 tok/s
  • Ornith 1.5 35B A3B 35.95B Basic Tool useReasoning
    MMLU
    Q4_K_M
    Context 256K Speed ~500 tok/s

    MoE — speed based on ~1.69 GB active experts (full 20.22 GB loaded in VRAM)

    Q8_0
    Context 256K Speed ~341 tok/s

    MoE — speed based on ~2.94 GB active experts (full 35.21 GB loaded in VRAM)

  • Laguna XS 2.1 33.44B Basic Tool useReasoning
    MMLU
    Q4_K_M
    Context 256K Speed ~494 tok/s

    MoE — speed based on ~1.72 GB active experts (full 19.14 GB loaded in VRAM)

    Q8_0
    Context 256K Speed ~339 tok/s

    MoE — speed based on ~2.97 GB active experts (full 33.15 GB loaded in VRAM)

  • Flint 40B A2.5B 39.79B Basic Tool useReasoning
    MMLU
    Q4_K_M
    Context 256K Speed ~542 tok/s

    MoE — speed based on ~1.48 GB active experts (full 23.61 GB loaded in VRAM)

    Q8_0
    Context 256K Speed ~386 tok/s

    MoE — speed based on ~2.48 GB active experts (full 39.44 GB loaded in VRAM)

  • MiniCPM-V 4.7 35B A3B 35.21B Basic VisionTool useReasoning
    MMLU
    Q4_K_M
    Context 256K Speed ~501 tok/s

    MoE — speed based on ~1.68 GB active experts (full 19.71 GB loaded in VRAM)

    Q8_0
    Context 256K Speed ~342 tok/s

    MoE — speed based on ~2.93 GB active experts (full 34.37 GB loaded in VRAM)

  • MiMo V2.6 Distill Qwen 9B 9.41B Basic VisionTool useReasoning
    MMLU
    Q4_K_M
    Context 256K Speed ~209 tok/s
    Q8_0
    Context 256K Speed ~136 tok/s
  • Muse Glimmer 30B 29.78B Basic VisionTool useReasoning
    MMLU
    Q4_K_M
    Context 128K Speed ~81 tok/s
    Q8_0
    Context 128K Speed ~47 tok/s
  • LFM2.5 2.6B 2.7B Basic Tool use
    MMLU
    Q4_K_M
    Context 128K Speed ~525 tok/s
    Q8_0
    Context 128K Speed ~365 tok/s
  • LFM2.5 24B A2B 23.97B Basic Tool useReasoning
    MMLU
    Q4_K_M
    Context 128K Speed ~565 tok/s

    MoE — speed based on ~1.38 GB active experts (full 13.53 GB loaded in VRAM)

    Q8_0
    Context 128K Speed ~392 tok/s

    MoE — speed based on ~2.43 GB active experts (full 23.74 GB loaded in VRAM)

  • Nemotron 3.5 Bolt E4B 8B Basic Tool useReasoning
    MMLU
    Q4_K_M
    Context 64K Speed ~199 tok/s
    Q8_0
    Context 64K Speed ~158 tok/s

Tight fit 4

  • Qwen 2.5 72B 72.7B Excellent Tool use
    MMLU 86.1
    Q4_K_M
    Context 1K Speed ~28 tok/s

    Only 1K context — under the 16K needed to be practical

    Q8_0 Doesn't fit · needs 77.6 GB
    GPUs that can run this

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  • Qwen 2.5 VL 72B 72.7B Excellent VisionTool use
    MMLU 86.1
    Q4_K_M
    Context 1K Speed ~28 tok/s

    Only 1K context — under the 16K needed to be practical

    Q8_0 Doesn't fit · needs 77.6 GB
    GPUs that can run this

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  • Gemma 2 27B 27.2B Great
    MMLU 75.2
    Q4_K_M
    Context 8K Speed ~76 tok/s

    Only 8K context — under the 16K needed to be practical

    Q8_0
    Context 8K Speed ~45 tok/s

    Only 8K context — under the 16K needed to be practical

Tight fit 4

  • Qwen 2.5 72B 72.7B Excellent Tool use
    MMLU 86.1
    Q4_K_M
    Context 1K Speed ~28 tok/s

    Only 1K context — under the 16K needed to be practical

    Q8_0 Doesn't fit · needs 77.6 GB
    GPUs that can run this

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  • Qwen 2.5 VL 72B 72.7B Excellent VisionTool use
    MMLU 86.1
    Q4_K_M
    Context 1K Speed ~28 tok/s

    Only 1K context — under the 16K needed to be practical

    Q8_0 Doesn't fit · needs 77.6 GB
    GPUs that can run this

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  • Gemma 2 27B 27.2B Great
    MMLU 75.2
    Q4_K_M
    Context 8K Speed ~76 tok/s

    Only 8K context — under the 16K needed to be practical

    Q8_0
    Context 8K Speed ~45 tok/s

    Only 8K context — under the 16K needed to be practical

  • Gemma 2 9B 9.24B Good
    MMLU 71.3
    Q4_K_M
    Context 8K Speed ~199 tok/s

    Only 8K context — under the 16K needed to be practical

    Q8_0
    Context 8K Speed ~124 tok/s

    Only 8K context — under the 16K needed to be practical

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Doesn't fit 28

  • DeepSeek R1 0528 671B Excellent Reasoning
    MMLU 90.8
    Q4_K_M Needs 409.3 GB — 361.3 GB over
    Q8_0 Needs 713.4 GB — 665.4 GB over
  • Qwen3 Next 80B-A3B 80B Excellent Tool use
    MMLU 90
    Q4_K_M Needs 48.4 GB — 0.4 GB over
    Q8_0 Needs 84.8 GB — 36.8 GB over
    GPUs that can run this

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  • MiMo V2.5 Pro 1020B Excellent Reasoning
    MMLU 89.4
    Q4_K_M Needs 630.1 GB — 582.1 GB over
    Q8_0 Needs 1090.1 GB — 1042.1 GB over

Doesn't fit 28

  • DeepSeek R1 0528 671B Excellent Reasoning
    MMLU 90.8
    Q4_K_M Needs 409.3 GB — 361.3 GB over
    Q8_0 Needs 713.4 GB — 665.4 GB over
  • Qwen3 Next 80B-A3B 80B Excellent Tool use
    MMLU 90
    Q4_K_M Needs 48.4 GB — 0.4 GB over
    Q8_0 Needs 84.8 GB — 36.8 GB over
    GPUs that can run this

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  • MiMo V2.5 Pro 1020B Excellent Reasoning
    MMLU 89.4
    Q4_K_M Needs 630.1 GB — 582.1 GB over
    Q8_0 Needs 1090.1 GB — 1042.1 GB over
  • Mistral Small 4 119B Excellent VisionTool use
    MMLU 88.5
    Q4_K_M Needs 73.2 GB — 25.2 GB over
    Q8_0 Needs 127.0 GB — 79.0 GB over
    GPUs that can run this

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  • MiniMax M2.1 229B Excellent ReasoningTool use
    MMLU 88
    Q4_K_M Needs 138.1 GB — 90.1 GB over
    Q8_0 Needs 243.1 GB — 195.1 GB over
  • DeepSeek V4 Pro 1600B Excellent Tool useReasoning
    MMLU 87.5
    Q4_K_M Needs 900.1 GB — 852.1 GB over
    Q8_0 Needs 1670.1 GB — 1622.1 GB over
  • Qwen3.5 397B A17B 397B Excellent VisionTool useReasoning
    MMLU 87
    Q4_K_M Needs 227.4 GB — 179.4 GB over
    Q8_0 Needs 392.6 GB — 344.6 GB over
  • GLM-4.6 357B Excellent ReasoningTool use
    MMLU 87
    Q4_K_M Needs 216.1 GB — 168.1 GB over
    Q8_0 Needs 379.1 GB — 331.1 GB over
  • GLM 5.1 754B Excellent Tool use
    MMLU 86.9
    Q4_K_M Needs 459.8 GB — 411.8 GB over
    Q8_0 Needs 801.4 GB — 753.4 GB over
  • DeepSeek V4 Flash 284B Excellent Tool useReasoning
    MMLU 86.4
    Q4_K_M Needs 161.1 GB — 113.1 GB over
    Q8_0 Needs 282.1 GB — 234.1 GB over
  • Llama 4 Maverick 400B Excellent VisionTool use
    MMLU 85.5
    Q4_K_M Needs 243.2 GB — 195.2 GB over
    Q8_0 Needs 426.2 GB — 378.2 GB over
  • Qwen3.5 122B A10B 122B Excellent VisionTool useReasoning
    MMLU 85
    Q4_K_M Needs 71.3 GB — 23.3 GB over
    Q8_0 Needs 121.0 GB — 73.0 GB over
    GPUs that can run this

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  • Step 3.5 Flash 197B Excellent ReasoningTool use
    MMLU 84
    Q4_K_M Needs 119.2 GB — 71.2 GB over
    Q8_0 Needs 209.2 GB — 161.2 GB over
    GPUs that can run this

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  • GLM 5 753.86B Excellent Tool use
    MMLU 83
    Q4_K_M Needs 424.7 GB — 376.7 GB over
    Q8_0 Needs 746.4 GB — 698.4 GB over
  • MiniMax M2.5 228.7B Great ReasoningTool use
    MMLU 82
    Q4_K_M Needs 129.1 GB — 81.1 GB over
    Q8_0 Needs 226.7 GB — 178.7 GB over
  • Llama 4 Scout 109B Great VisionTool use
    MMLU 79.6
    Q4_K_M Needs 65.6 GB — 17.6 GB over
    Q8_0 Needs 115.2 GB — 67.2 GB over
    GPUs that can run this

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  • Qwen3.8 Flash Next 180B Good VisionTool useReasoning
    MMLU 73.23
    Q4_K_M Needs 111.4 GB — 63.4 GB over
    Q8_0 Needs 175.4 GB — 127.4 GB over
    GPUs that can run this

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  • Mistral Large 3 675B 673.42B Good VisionTool useReasoning
    MMLU 73.11
    Q4_K_M Needs 379.1 GB — 331.1 GB over
    Q8_0 Needs 666.6 GB — 618.6 GB over
  • Muse Spark Open 816B A42B 822.04B Basic VisionTool useReasoning
    MMLU
    Q4_K_M Needs 465.3 GB — 417.3 GB over
    Q8_0 Needs 811.9 GB — 763.9 GB over
  • GLM 5.3 753.33B Basic Tool useReasoning
    MMLU
    Q8_0 Needs 746.4 GB — 698.4 GB over
  • Beam 1.0 501B A23B 501.27B Basic Tool useReasoning
    MMLU
    Q4_K_M Needs 293.0 GB — 245.0 GB over
    Q8_0 Needs 496.2 GB — 448.2 GB over
  • Ornith 1.5 397B 403.4B Basic Tool useReasoning
    MMLU
    Q4_K_M Needs 227.6 GB — 179.6 GB over
    Q8_0 Needs 399.1 GB — 351.1 GB over
  • MiMo V2.5 310B Basic Reasoning
    MMLU
    Q4_K_M Needs 188.9 GB — 140.9 GB over
    Q8_0 Needs 329.4 GB — 281.4 GB over
  • GLM 5.3 Flash 321.32B Basic Tool useReasoning
    MMLU
    Q4_K_M Needs 176.0 GB — 128.0 GB over
    Q8_0 Needs 310.4 GB — 262.4 GB over
  • Step 3.7 Flash 198B Basic VisionTool useReasoning
    MMLU
    Q4_K_S Needs 104.0 GB — 56.0 GB over
    Q8_0 Needs 195.2 GB — 147.2 GB over
    GPUs that can run this

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  • Ornith 1.5 122B 125.09B Basic Tool useReasoning
    MMLU
    Q4_K_M Needs 70.7 GB — 22.7 GB over
    Q8_0 Needs 123.5 GB — 75.5 GB over
    GPUs that can run this

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  • Nemotron 3.5 Super VL 120B A12B 124.45B Basic VisionTool useReasoning
    MMLU
    Q4_K_M Needs 65.3 GB — 17.3 GB over
    Q8_0 Needs 119.7 GB — 71.7 GB over
    GPUs that can run this

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  • Nemotron 3.5 Bolt 74B A9B 74.89B Basic VisionTool useReasoning
    MMLU
    Q8_0 Needs 73.4 GB — 25.4 GB over
    GPUs that can run this

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